Pandas Profiling Report

Dataset statistics

Number of variables	26
Number of observations	44850
Missing cells	49251
Missing cells (%)	4.2%
Duplicate rows	619
Duplicate rows (%)	1.4%
Total size in memory	8.9 MiB
Average record size in memory	208.0 B

Variable types

Categorical	13
Numeric	13

Warnings

Dataset has 619 (1.4%) duplicate rows	Duplicates
`Marque` has a high cardinality: 51 distinct values	High cardinality
`Modèle dossier` has a high cardinality: 458 distinct values	High cardinality
`Modèle UTAC` has a high cardinality: 419 distinct values	High cardinality
`Désignation commerciale` has a high cardinality: 3582 distinct values	High cardinality
`CNIT` has a high cardinality: 44191 distinct values	High cardinality
`Type Variante Version (TVV)` has a high cardinality: 28781 distinct values	High cardinality
`Puissance administrative` is highly correlated with `Puissance maximale (kW)`	High correlation
`Puissance maximale (kW)` is highly correlated with `Puissance administrative`	High correlation
`Consommation urbaine (l/100km)` is highly correlated with `Consommation extra-urbaine (l/100km)` and 2 other fields	High correlation
`Consommation extra-urbaine (l/100km)` is highly correlated with `Consommation urbaine (l/100km)` and 2 other fields	High correlation
`Consommation mixte (l/100km)` is highly correlated with `Consommation urbaine (l/100km)` and 2 other fields	High correlation
`CO2 (g/km)` is highly correlated with `Consommation urbaine (l/100km)` and 2 other fields	High correlation
`NOX (g/km)` is highly correlated with `HC+NOX (g/km)`	High correlation
`HC+NOX (g/km)` is highly correlated with `NOX (g/km)`	High correlation
`masse vide euro min (kg)` is highly correlated with `masse vide euro max (kg)`	High correlation
`masse vide euro max (kg)` is highly correlated with `masse vide euro min (kg)`	High correlation
`Carburant` is highly correlated with `Hybride`	High correlation
`Date de mise à jour` is highly correlated with `Marque`	High correlation
`Marque` is highly correlated with `Date de mise à jour`	High correlation
`Hybride` is highly correlated with `Carburant`	High correlation
`HC (g/km)` has 34447 (76.8%) missing values	Missing
`HC+NOX (g/km)` has 10659 (23.8%) missing values	Missing
`Particules (g/km)` has 3142 (7.0%) missing values	Missing
`Particules (g/km)` is highly skewed (γ1 = 87.095677)	Skewed
`CNIT` is uniformly distributed	Uniform
`Type Variante Version (TVV)` is uniformly distributed	Uniform
`Particules (g/km)` has 19210 (42.8%) zeros	Zeros

Reproduction

Analysis started	2021-03-18 15:34:19.002581
Analysis finished	2021-03-18 15:34:41.728971
Duration	22.73 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Marque
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	51
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

MERCEDES-BENZ	38450
VOLKSWAGEN	900
FIAT	607
OPEL	586
BMW	525
Other values (46)	3782

Length

Max length	25
Median length	13
Mean length	12.02738016
Min length	3

Characters and Unicode

Total characters	539428
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	ALFA-ROMEO
2nd row	ALFA-ROMEO
3rd row	ALFA-ROMEO
4th row	ALFA-ROMEO
5th row	ALFA-ROMEO

Value	Count	Frequency (%)
MERCEDES-BENZ	38450	85.7%
VOLKSWAGEN	900	2.0%
FIAT	607	1.4%
OPEL	586	1.3%
BMW	525	1.2%
SKODA	364	0.8%
FORD	296	0.7%
AUDI	242	0.5%
CITROEN	207	0.5%
MAZDA	193	0.4%
Other values (41)	2480	5.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
mercedes-benz	38450	84.9%
volkswagen	900	2.0%
fiat	607	1.3%
opel	586	1.3%
bmw	525	1.2%
skoda	364	0.8%
ford	296	0.7%
audi	242	0.5%
citroen	207	0.5%
mazda	193	0.4%
Other values (45)	2917	6.4%

Most occurring characters

Value	Count	Frequency (%)
E	157517	29.2%
S	40939	7.6%
N	40670	7.5%
D	40087	7.4%
R	40042	7.4%
M	39980	7.4%
C	39213	7.3%
B	39092	7.2%
Z	38674	7.2%
-	38569	7.1%
Other values (18)	24645	4.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	500422	92.8%
Dash Punctuation	38569	7.1%
Space Separator	437	0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	157517	31.5%
S	40939	8.2%
N	40670	8.1%
D	40087	8.0%
R	40042	8.0%
M	39980	8.0%
C	39213	7.8%
B	39092	7.8%
Z	38674	7.7%
A	4594	0.9%
Other values (16)	19614	3.9%

Value	Count	Frequency (%)
-	38569	100.0%

Value	Count	Frequency (%)
	437	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	500422	92.8%
Common	39006	7.2%

Most frequent character per script

Value	Count	Frequency (%)
E	157517	31.5%
S	40939	8.2%
N	40670	8.1%
D	40087	8.0%
R	40042	8.0%
M	39980	8.0%
C	39213	7.8%
B	39092	7.8%
Z	38674	7.7%
A	4594	0.9%
Other values (16)	19614	3.9%

Value	Count	Frequency (%)
-	38569	98.9%
	437	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	539428	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	157517	29.2%
S	40939	7.6%
N	40670	7.5%
D	40087	7.4%
R	40042	7.4%
M	39980	7.4%
C	39213	7.3%
B	39092	7.2%
Z	38674	7.2%
-	38569	7.1%
Other values (18)	24645	4.6%

Modèle dossier
Categorical

HIGH CARDINALITY

Distinct	458
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

VIANO	14031
VITO	9890
SPRINTER	8323
CLASSE E	2849
CLASSE C	1302
Other values (453)	8455

Length

Max length	20
Median length	5
Mean length	5.99386845
Min length	1

Characters and Unicode

Total characters	268825
Distinct characters	43
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	0.1%

Sample

1st row	159
2nd row	159
3rd row	159
4th row	159
5th row	159

Value	Count	Frequency (%)
VIANO	14031	31.3%
VITO	9890	22.1%
SPRINTER	8323	18.6%
CLASSE E	2849	6.4%
CLASSE C	1302	2.9%
CADDY	657	1.5%
CLASSE B	434	1.0%
CLASSE S	336	0.7%
CLASSE M	277	0.6%
CLASSE A	255	0.6%
Other values (448)	6496	14.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
viano	14031	26.5%
vito	9890	18.7%
sprinter	8323	15.7%
classe	6346	12.0%
e	2849	5.4%
c	1302	2.5%
caddy	657	1.2%
serie	516	1.0%
b	434	0.8%
s	374	0.7%
Other values (408)	8243	15.6%

Most occurring characters

Value	Count	Frequency (%)
I	34986	13.0%
O	26212	9.8%
A	25755	9.6%
V	24719	9.2%
S	24228	9.0%
N	24010	8.9%
E	20435	7.6%
T	20343	7.6%
R	19772	7.4%
C	10206	3.8%
Other values (33)	38159	14.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	257409	95.8%
Space Separator	8115	3.0%
Decimal Number	3091	1.1%
Dash Punctuation	170	0.1%
Other Punctuation	27	< 0.1%
Math Symbol	13	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
I	34986	13.6%
O	26212	10.2%
A	25755	10.0%
V	24719	9.6%
S	24228	9.4%
N	24010	9.3%
E	20435	7.9%
T	20343	7.9%
R	19772	7.7%
C	10206	4.0%
Other values (17)	26743	10.4%

Value	Count	Frequency (%)
0	813	26.3%
5	568	18.4%
3	363	11.7%
4	319	10.3%
6	276	8.9%
1	212	6.9%
8	196	6.3%
2	170	5.5%
7	119	3.8%
9	55	1.8%

Value	Count	Frequency (%)
'	20	74.1%
!	6	22.2%
.	1	3.7%

Value	Count	Frequency (%)
	8115	100.0%

Value	Count	Frequency (%)
-	170	100.0%

Value	Count	Frequency (%)
+	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	257409	95.8%
Common	11416	4.2%

Most frequent character per script

Value	Count	Frequency (%)
I	34986	13.6%
O	26212	10.2%
A	25755	10.0%
V	24719	9.6%
S	24228	9.4%
N	24010	9.3%
E	20435	7.9%
T	20343	7.9%
R	19772	7.7%
C	10206	4.0%
Other values (17)	26743	10.4%

Value	Count	Frequency (%)
	8115	71.1%
0	813	7.1%
5	568	5.0%
3	363	3.2%
4	319	2.8%
6	276	2.4%
1	212	1.9%
8	196	1.7%
-	170	1.5%
2	170	1.5%
Other values (6)	214	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	268810	> 99.9%
None	15	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
I	34986	13.0%
O	26212	9.8%
A	25755	9.6%
V	24719	9.2%
S	24228	9.0%
N	24010	8.9%
E	20435	7.6%
T	20343	7.6%
R	19772	7.4%
C	10206	3.8%
Other values (32)	38144	14.2%

Value	Count	Frequency (%)
É	15	100.0%

Modèle UTAC
Categorical

HIGH CARDINALITY

Distinct	419
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

VIANO	14031
VITO	9890
SPRINTER	8323
E 250	674
E 200	670
Other values (414)	11262

Length

Max length	20
Median length	5
Mean length	5.413333333
Min length	1

Characters and Unicode

Total characters	242788
Distinct characters	41
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	< 0.1%

Sample

1st row	159
2nd row	159
3rd row	159
4th row	159
5th row	159

Value	Count	Frequency (%)
VIANO	14031	31.3%
VITO	9890	22.1%
SPRINTER	8323	18.6%
E 250	674	1.5%
E 200	670	1.5%
CADDY	657	1.5%
E 350	528	1.2%
E 220	460	1.0%
C 250	360	0.8%
C 180	336	0.7%
Other values (409)	8921	19.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
viano	14031	27.1%
vito	9890	19.1%
sprinter	8323	16.1%
e	2849	5.5%
250	1365	2.6%
c	1302	2.5%
350	1153	2.2%
200	1119	2.2%
220	889	1.7%
180	760	1.5%
Other values (371)	10129	19.6%

Most occurring characters

Value	Count	Frequency (%)
I	34253	14.1%
O	25911	10.7%
V	24664	10.2%
N	23846	9.8%
T	19979	8.2%
A	19222	7.9%
R	18837	7.8%
E	12717	5.2%
S	10689	4.4%
P	8980	3.7%
Other values (31)	43690	18.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	213503	87.9%
Decimal Number	22135	9.1%
Space Separator	6960	2.9%
Dash Punctuation	162	0.1%
Other Punctuation	26	< 0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
I	34253	16.0%
O	25911	12.1%
V	24664	11.6%
N	23846	11.2%
T	19979	9.4%
A	19222	9.0%
R	18837	8.8%
E	12717	6.0%
S	10689	5.0%
P	8980	4.2%
Other values (16)	14405	6.7%

Value	Count	Frequency (%)
0	8758	39.6%
2	4516	20.4%
5	3482	15.7%
3	2191	9.9%
1	1043	4.7%
8	985	4.4%
6	584	2.6%
4	420	1.9%
7	101	0.5%
9	55	0.2%

Value	Count	Frequency (%)
'	20	76.9%
!	6	23.1%

Value	Count	Frequency (%)
	6960	100.0%

Value	Count	Frequency (%)
-	162	100.0%

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	213503	87.9%
Common	29285	12.1%

Most frequent character per script

Value	Count	Frequency (%)
I	34253	16.0%
O	25911	12.1%
V	24664	11.6%
N	23846	11.2%
T	19979	9.4%
A	19222	9.0%
R	18837	8.8%
E	12717	6.0%
S	10689	5.0%
P	8980	4.2%
Other values (16)	14405	6.7%

Value	Count	Frequency (%)
0	8758	29.9%
	6960	23.8%
2	4516	15.4%
5	3482	11.9%
3	2191	7.5%
1	1043	3.6%
8	985	3.4%
6	584	2.0%
4	420	1.4%
-	162	0.6%
Other values (5)	184	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	242788	100.0%

Most frequent character per block

Value	Count	Frequency (%)
I	34253	14.1%
O	25911	10.7%
V	24664	10.2%
N	23846	9.8%
T	19979	8.2%
A	19222	7.9%
R	18837	7.8%
E	12717	5.2%
S	10689	4.4%
P	8980	3.7%
Other values (31)	43690	18.0%

Désignation commerciale
Categorical

HIGH CARDINALITY

Distinct	3582
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

VIANO 2.2 CDI	5874
VIANO 2.0 CDI	3903
COMBI 116 CDI	3754
COMBI 113 CDI	2620
VIANO 3.0 CDI	1608
Other values (3577)	27091

Length

Max length	95
Median length	17
Mean length	20.09328874
Min length	2

Characters and Unicode

Total characters	901184
Distinct characters	75
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2318 ?
Unique (%)	5.2%

Sample

1st row	159 1750 Tbi (200ch)
2nd row	159 2.0 JTDm (170ch) ECO
3rd row	159 2.0 JTDm (136ch)
4th row	159 2.0 JTDm (136ch)
5th row	159 2.0 JTDm (170ch)

Value	Count	Frequency (%)
VIANO 2.2 CDI	5874	13.1%
VIANO 2.0 CDI	3903	8.7%
COMBI 116 CDI	3754	8.4%
COMBI 113 CDI	2620	5.8%
VIANO 3.0 CDI	1608	3.6%
SPRINTER COMBI 213 CDI - 32	1548	3.5%
SPRINTER COMBI 213 CDI - 43	1258	2.8%
SPRINTER COMBI 213 CDI - 37	1111	2.5%
SPRINTER COMBI 316 CDI - 37	1074	2.4%
VIANO 2.2 CDI 4x4	954	2.1%
Other values (3572)	21146	47.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
cdi	33924	17.4%
combi	18309	9.4%
viano	14031	7.2%
sprinter	8323	4.3%
	7568	3.9%
2.2	6899	3.5%
2.0	5846	3.0%
fap	4647	2.4%
bva7	4601	2.4%
116	4468	2.3%
Other values (1264)	86033	44.2%

Most occurring characters

Value	Count	Frequency (%)
	149799	16.6%
I	86840	9.6%
C	61975	6.9%
O	40629	4.5%
D	40130	4.5%
2	35781	4.0%
A	35469	3.9%
1	34521	3.8%
N	32274	3.6%
B	31834	3.5%
Other values (65)	351932	39.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	508615	56.4%
Decimal Number	163815	18.2%
Space Separator	149799	16.6%
Lowercase Letter	40802	4.5%
Other Punctuation	20717	2.3%
Dash Punctuation	8166	0.9%
Open Punctuation	4614	0.5%
Close Punctuation	4612	0.5%
Math Symbol	40	< 0.1%
Control	4	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
c	4787	11.7%
x	4390	10.8%
h	4383	10.7%
i	3587	8.8%
t	3261	8.0%
e	3221	7.9%
o	2779	6.8%
r	2499	6.1%
n	1678	4.1%
a	1598	3.9%
Other values (17)	8619	21.1%

Value	Count	Frequency (%)
I	86840	17.1%
C	61975	12.2%
O	40629	8.0%
D	40130	7.9%
A	35469	7.0%
N	32274	6.3%
B	31834	6.3%
M	25347	5.0%
R	24727	4.9%
V	24312	4.8%
Other values (16)	105078	20.7%

Value	Count	Frequency (%)
2	35781	21.8%
1	34521	21.1%
3	25310	15.5%
0	21916	13.4%
4	13607	8.3%
6	13148	8.0%
7	8344	5.1%
5	7479	4.6%
8	1997	1.2%
9	1712	1.0%

Value	Count	Frequency (%)
.	18748	90.5%
"	582	2.8%
'	566	2.7%
/	565	2.7%
&	250	1.2%
!	6	< 0.1%

Value	Count	Frequency (%)
	149799	100.0%

Value	Count	Frequency (%)
(	4614	100.0%

Value	Count	Frequency (%)
)	4612	100.0%

Value	Count	Frequency (%)
-	8166	100.0%

Value	Count	Frequency (%)
	4	100.0%

Value	Count	Frequency (%)
+	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	549417	61.0%
Common	351767	39.0%

Most frequent character per script

Value	Count	Frequency (%)
I	86840	15.8%
C	61975	11.3%
O	40629	7.4%
D	40130	7.3%
A	35469	6.5%
N	32274	5.9%
B	31834	5.8%
M	25347	4.6%
R	24727	4.5%
V	24312	4.4%
Other values (43)	145880	26.6%

Value	Count	Frequency (%)
	149799	42.6%
2	35781	10.2%
1	34521	9.8%
3	25310	7.2%
0	21916	6.2%
.	18748	5.3%
4	13607	3.9%
6	13148	3.7%
7	8344	2.4%
-	8166	2.3%
Other values (12)	22427	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	901032	> 99.9%
None	152	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	149799	16.6%
I	86840	9.6%
C	61975	6.9%
O	40629	4.5%
D	40130	4.5%
2	35781	4.0%
A	35469	3.9%
1	34521	3.8%
N	32274	3.6%
B	31834	3.5%
Other values (62)	351780	39.0%

Value	Count	Frequency (%)
é	146	96.1%
	4	2.6%
î	2	1.3%

CNIT
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	44191
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

M10MCDVP324D533	16
M10FATVP001M592	16
M10FATVP001Z447	16
M10FATVP007R335	16
M10PELVP095G630	16
Other values (44186)	44770

Length

Max length	15
Median length	15
Mean length	14.99859532
Min length	12

Characters and Unicode

Total characters	672687
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44130 ?
Unique (%)	98.4%

Sample

1st row	M10ALFVP000G340
2nd row	M10ALFVP000U221
3rd row	M10ALFVP000E302
4th row	M10ALFVP000F303
5th row	M10ALFVP000G304

Value	Count	Frequency (%)
M10MCDVP324D533	16	< 0.1%
M10FATVP001M592	16	< 0.1%
M10FATVP001Z447	16	< 0.1%
M10FATVP007R335	16	< 0.1%
M10PELVP095G630	16	< 0.1%
M10FATVP0012159	16	< 0.1%
M10FATVP001R148	16	< 0.1%
M10FATVP001J854	16	< 0.1%
M10FATVP001P595	16	< 0.1%
M10MCDVP3242292	16	< 0.1%
Other values (44181)	44690	99.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
m10fatvp008m682	16	< 0.1%
m10mcdvp324p060	16	< 0.1%
m10mcdvp324s063	16	< 0.1%
m10fatvp001m592	16	< 0.1%
m10mcdvp324c532	16	< 0.1%
m10pelvp0954388	16	< 0.1%
m10ladvp000t028	16	< 0.1%
m10fatvp008n683	16	< 0.1%
m10fatvp001r148	16	< 0.1%
m10mcdvp324b531	16	< 0.1%
Other values (44181)	44690	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	89344	13.3%
M	85652	12.7%
1	78432	11.7%
P	48356	7.2%
V	47974	7.1%
D	41374	6.2%
C	41171	6.1%
6	30537	4.5%
2	26049	3.9%
3	25210	3.7%
Other values (23)	158588	23.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	352038	52.3%
Uppercase Letter	320649	47.7%

Most frequent character per category

Value	Count	Frequency (%)
M	85652	26.7%
P	48356	15.1%
V	47974	15.0%
D	41374	12.9%
C	41171	12.8%
F	9348	2.9%
G	7326	2.3%
J	4469	1.4%
R	4222	1.3%
A	3111	1.0%
Other values (13)	27646	8.6%

Value	Count	Frequency (%)
0	89344	25.4%
1	78432	22.3%
6	30537	8.7%
2	26049	7.4%
3	25210	7.2%
7	24096	6.8%
5	20897	5.9%
4	19993	5.7%
8	18997	5.4%
9	18483	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	352038	52.3%
Latin	320649	47.7%

Most frequent character per script

Value	Count	Frequency (%)
M	85652	26.7%
P	48356	15.1%
V	47974	15.0%
D	41374	12.9%
C	41171	12.8%
F	9348	2.9%
G	7326	2.3%
J	4469	1.4%
R	4222	1.3%
A	3111	1.0%
Other values (13)	27646	8.6%

Value	Count	Frequency (%)
0	89344	25.4%
1	78432	22.3%
6	30537	8.7%
2	26049	7.4%
3	25210	7.2%
7	24096	6.8%
5	20897	5.9%
4	19993	5.7%
8	18997	5.4%
9	18483	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	672687	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	89344	13.3%
M	85652	12.7%
1	78432	11.7%
P	48356	7.2%
V	47974	7.1%
D	41374	6.2%
C	41171	6.1%
6	30537	4.5%
2	26049	3.9%
3	25210	3.7%
Other values (23)	158588	23.6%

Type Variante Version (TVV)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	28781
Distinct (%)	64.2%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

263AXG1B05	32
S-DKZ111AACD7A9BDA5	16
906AC35KNG71350NMCE21WA9	16
906AC35KNG71350EMCE21WA9	16
906AC35KMG71349EMCE21WA9	16
Other values (28776)	44754

Length

Max length	36
Median length	22
Mean length	21.13326644
Min length	4

Characters and Unicode

Total characters	947827
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19272 ?
Unique (%)	43.0%

Sample

1st row	939AXN1B52C
2nd row	939AXP1B54C
3rd row	939AXR1B64
4th row	939AXR1B64B
5th row	939AXS1B66

Value	Count	Frequency (%)
263AXG1B05	32	0.1%
S-DKZ111AACD7A9BDA5	16	< 0.1%
906AC35KNG71350NMCE21WA9	16	< 0.1%
906AC35KNG71350EMCE21WA9	16	< 0.1%
906AC35KMG71349EMCE21WA9	16	< 0.1%
312PXA1AP0F	16	< 0.1%
S-DBZ111AACA7K0BDA5	16	< 0.1%
312PXG1AP1F	16	< 0.1%
906AC35KHG71349EMCE21WA9	16	< 0.1%
906AC35KHG71350EMCE21WA9	16	< 0.1%
Other values (28771)	44674	99.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
263axg1b05	32	0.1%
906ac35khg71349nmce21wa9	16	< 0.1%
s-dbz111aaca7k0bda5	16	< 0.1%
906ac35kng71349emce21wa9	16	< 0.1%
s-dkz111aacd7a9bda5	16	< 0.1%
906ac35kmg71349nmce21wa9	16	< 0.1%
212140yzda	16	< 0.1%
198axa1bg00e	16	< 0.1%
169axh1a12	16	< 0.1%
906ac35kng71350emce21wa9	16	< 0.1%
Other values (28772)	44686	99.6%

Most occurring characters

Value	Count	Frequency (%)
2	113941	12.0%
3	104452	11.0%
A	92281	9.7%
1	64514	6.8%
0	60969	6.4%
9	51705	5.5%
6	40866	4.3%
N	39517	4.2%
5	38376	4.0%
M	36242	3.8%
Other values (51)	304964	32.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	533521	56.3%
Uppercase Letter	385673	40.7%
Other Punctuation	24827	2.6%
Lowercase Letter	1232	0.1%
Dash Punctuation	924	0.1%
Open Punctuation	819	0.1%
Close Punctuation	819	0.1%
Space Separator	12	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	92281	23.9%
N	39517	10.2%
M	36242	9.4%
C	27592	7.2%
K	24379	6.3%
B	21656	5.6%
L	17880	4.6%
S	14011	3.6%
F	13428	3.5%
E	12585	3.3%
Other values (16)	86102	22.3%

Value	Count	Frequency (%)
x	480	39.0%
a	292	23.7%
o	164	13.3%
b	84	6.8%
c	76	6.2%
n	75	6.1%
m	9	0.7%
i	7	0.6%
d	7	0.6%
h	6	0.5%
Other values (10)	32	2.6%

Value	Count	Frequency (%)
2	113941	21.4%
3	104452	19.6%
1	64514	12.1%
0	60969	11.4%
9	51705	9.7%
6	40866	7.7%
5	38376	7.2%
7	25261	4.7%
8	19985	3.7%
4	13452	2.5%

Value	Count	Frequency (%)
(	819	100.0%

Value	Count	Frequency (%)
)	819	100.0%

Value	Count	Frequency (%)
-	924	100.0%

Value	Count	Frequency (%)
/	24827	100.0%

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	560922	59.2%
Latin	386905	40.8%

Most frequent character per script

Value	Count	Frequency (%)
A	92281	23.9%
N	39517	10.2%
M	36242	9.4%
C	27592	7.1%
K	24379	6.3%
B	21656	5.6%
L	17880	4.6%
S	14011	3.6%
F	13428	3.5%
E	12585	3.3%
Other values (36)	87334	22.6%

Value	Count	Frequency (%)
2	113941	20.3%
3	104452	18.6%
1	64514	11.5%
0	60969	10.9%
9	51705	9.2%
6	40866	7.3%
5	38376	6.8%
7	25261	4.5%
/	24827	4.4%
8	19985	3.6%
Other values (5)	16026	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	947827	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	113941	12.0%
3	104452	11.0%
A	92281	9.7%
1	64514	6.8%
0	60969	6.4%
9	51705	5.5%
6	40866	4.3%
N	39517	4.2%
5	38376	4.0%
M	36242	3.8%
Other values (51)	304964	32.2%

Carburant
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

GO	37778
ES	6157
EH	199
ES/GN	176
GN/ES	176
Other values (8)	364

Length

Max length	5
Median length	2
Mean length	2.036923077
Min length	2

Characters and Unicode

Total characters	91356
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	ES
2nd row	GO
3rd row	GO
4th row	GO
5th row	GO

Value	Count	Frequency (%)
GO	37778	84.2%
ES	6157	13.7%
EH	199	0.4%
ES/GN	176	0.4%
GN/ES	176	0.4%
GP/ES	100	0.2%
ES/GP	100	0.2%
GN	59	0.1%
GH	54	0.1%
EL	39	0.1%
Other values (3)	12	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
go	37778	84.2%
es	6157	13.7%
eh	199	0.4%
gn/es	176	0.4%
es/gn	176	0.4%
es/gp	100	0.2%
gp/es	100	0.2%
gn	59	0.1%
gh	54	0.1%
el	39	0.1%
Other values (3)	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
G	38444	42.1%
O	37778	41.4%
E	6961	7.6%
S	6709	7.3%
/	552	0.6%
N	411	0.4%
H	253	0.3%
P	200	0.2%
L	40	< 0.1%
F	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	90804	99.4%
Other Punctuation	552	0.6%

Most frequent character per category

Value	Count	Frequency (%)
G	38444	42.3%
O	37778	41.6%
E	6961	7.7%
S	6709	7.4%
N	411	0.5%
H	253	0.3%
P	200	0.2%
L	40	< 0.1%
F	8	< 0.1%

Value	Count	Frequency (%)
/	552	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90804	99.4%
Common	552	0.6%

Most frequent character per script

Value	Count	Frequency (%)
G	38444	42.3%
O	37778	41.6%
E	6961	7.7%
S	6709	7.4%
N	411	0.5%
H	253	0.3%
P	200	0.2%
L	40	< 0.1%
F	8	< 0.1%

Value	Count	Frequency (%)
/	552	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91356	100.0%

Most frequent character per block

Value	Count	Frequency (%)
G	38444	42.1%
O	37778	41.4%
E	6961	7.6%
S	6709	7.3%
/	552	0.6%
N	411	0.4%
H	253	0.3%
P	200	0.2%
L	40	< 0.1%
F	8	< 0.1%

Hybride
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

non	44593
oui	257

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	134550
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	non
2nd row	non
3rd row	non
4th row	non
5th row	non

Value	Count	Frequency (%)
non	44593	99.4%
oui	257	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
non	44593	99.4%
oui	257	0.6%

Most occurring characters

Value	Count	Frequency (%)
n	89186	66.3%
o	44850	33.3%
u	257	0.2%
i	257	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	134550	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	89186	66.3%
o	44850	33.3%
u	257	0.2%
i	257	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	134550	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	89186	66.3%
o	44850	33.3%
u	257	0.2%
i	257	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	134550	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	89186	66.3%
o	44850	33.3%
u	257	0.2%
i	257	0.2%

Puissance administrative
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	62
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.01899666
Minimum	1
Maximum	81
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	9
median	10
Q3	11
95-th percentile	18
Maximum	81
Range	80
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	5.554474663
Coefficient of variation (CV)	0.5040817088
Kurtosis	26.20870961
Mean	11.01899666
Median Absolute Deviation (MAD)	1
Skewness	4.399295434
Sum	494202
Variance	30.85218879
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	12750	28.4%
10	10180	22.7%
11	6699	14.9%
15	2806	6.3%
7	2404	5.4%
8	1683	3.8%
6	1269	2.8%
18	1193	2.7%
13	1088	2.4%
12	876	2.0%
Other values (52)	3902	8.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	36	0.1%
3	27	0.1%
4	518	1.2%
5	672	1.5%
6	1269	2.8%

Value	Count	Frequency (%)
81	2	< 0.1%
80	2	< 0.1%
73	1	< 0.1%
72	1	< 0.1%
68	2	< 0.1%

Puissance maximale (kW)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	223
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	124.7808339
Minimum	10
Maximum	559.3
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	10
5-th percentile	75
Q1	100
median	120
Q3	125
95-th percentile	195
Maximum	559.3
Range	549.3
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	49.15880391
Coefficient of variation (CV)	0.3939611748
Kurtosis	14.25184814
Mean	124.7808339
Median Absolute Deviation (MAD)	20
Skewness	3.166187376
Sum	5596420.4
Variance	2416.588002
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	14483	32.3%
100	8783	19.6%
95	4125	9.2%
165	2450	5.5%
150	1345	3.0%
190	1291	2.9%
125	991	2.2%
70	987	2.2%
140	977	2.2%
225	683	1.5%
Other values (213)	8735	19.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	21	< 0.1%
35	11	< 0.1%
40	6	< 0.1%
43	1	< 0.1%
44	16	< 0.1%

Value	Count	Frequency (%)
559.3	4	< 0.1%
541	2	< 0.1%
515	2	< 0.1%
486	3	< 0.1%
476	2	< 0.1%

Boîte de vitesse
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

M 6	19364
A 5	13770
A 7	8428
M 5	1425
A 6	1101
Other values (11)	762

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	134550
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	M 6
2nd row	M 6
3rd row	M 6
4th row	M 6
5th row	M 6

Value	Count	Frequency (%)
M 6	19364	43.2%
A 5	13770	30.7%
A 7	8428	18.8%
M 5	1425	3.2%
A 6	1101	2.5%
A 8	446	1.0%
V 0	180	0.4%
A 4	39	0.1%
D 5	39	0.1%
D 7	21	< 0.1%
Other values (6)	37	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	23794	26.5%
m	20801	23.2%
6	20477	22.8%
5	15234	17.0%
7	8461	9.4%
8	446	0.5%
0	191	0.2%
v	180	0.2%
d	71	0.1%
4	39	< 0.1%
Other values (3)	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	44850	33.3%
A	23794	17.7%
M	20801	15.5%
6	20477	15.2%
5	15234	11.3%
7	8461	6.3%
8	446	0.3%
0	191	0.1%
V	180	0.1%
D	71	0.1%
Other values (4)	45	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	44850	33.3%
Space Separator	44850	33.3%
Decimal Number	44850	33.3%

Most frequent character per category

Value	Count	Frequency (%)
6	20477	45.7%
5	15234	34.0%
7	8461	18.9%
8	446	1.0%
0	191	0.4%
4	39	0.1%
1	2	< 0.1%

Value	Count	Frequency (%)
A	23794	53.1%
M	20801	46.4%
V	180	0.4%
D	71	0.2%
N	3	< 0.1%
S	1	< 0.1%

Value	Count	Frequency (%)
	44850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	89700	66.7%
Latin	44850	33.3%

Most frequent character per script

Value	Count	Frequency (%)
	44850	50.0%
6	20477	22.8%
5	15234	17.0%
7	8461	9.4%
8	446	0.5%
0	191	0.2%
4	39	< 0.1%
1	2	< 0.1%

Value	Count	Frequency (%)
A	23794	53.1%
M	20801	46.4%
V	180	0.4%
D	71	0.2%
N	3	< 0.1%
S	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	134550	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	44850	33.3%
A	23794	17.7%
M	20801	15.5%
6	20477	15.2%
5	15234	11.3%
7	8461	6.3%
8	446	0.3%
0	191	0.1%
V	180	0.1%
D	71	0.1%
Other values (4)	45	< 0.1%

Consommation urbaine (l/100km)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	204
Distinct (%)	0.5%
Missing	42
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	9.706744331
Minimum	0
Maximum	41.1
Zeros	1
Zeros (%)	< 0.1%
Memory size	350.5 KiB

Quantile statistics

Minimum	0
5-th percentile	6.1
Q1	8.8
median	9.8
Q3	10.7
95-th percentile	13.8
Maximum	41.1
Range	41.1
Interquartile range (IQR)	1.9

Descriptive statistics

Standard deviation	2.366180698
Coefficient of variation (CV)	0.2437666655
Kurtosis	8.374190056
Mean	9.706744331
Median Absolute Deviation (MAD)	1
Skewness	1.627844454
Sum	434939.8
Variance	5.598811098
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.9	3012	6.7%
8.9	2542	5.7%
10.1	2511	5.6%
9.5	2492	5.6%
10	2165	4.8%
8.8	1939	4.3%
9.9	1750	3.9%
9.4	1686	3.8%
9.3	1589	3.5%
10.2	1557	3.5%
Other values (194)	23565	52.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
3.1	3	< 0.1%
3.2	1	< 0.1%
3.3	2	< 0.1%
3.4	3	< 0.1%

Value	Count	Frequency (%)
41.1	2	< 0.1%
38.9	2	< 0.1%
25.6	2	< 0.1%
25.3	2	< 0.1%
25.2	28	0.1%

Consommation extra-urbaine (l/100km)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	91
Distinct (%)	0.2%
Missing	42
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	6.567634128
Minimum	2.8
Maximum	14.9
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	2.8
5-th percentile	4.3
Q1	6.3
median	6.7
Q3	7.1
95-th percentile	8.4
Maximum	14.9
Range	12.1
Interquartile range (IQR)	0.8

Descriptive statistics

Standard deviation	1.196233739
Coefficient of variation (CV)	0.1821407398
Kurtosis	1.716265303
Mean	6.567634128
Median Absolute Deviation (MAD)	0.4
Skewness	0.04820341419
Sum	294282.55
Variance	1.430975158
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.5	4143	9.2%
6.7	3651	8.1%
6.6	3537	7.9%
6.9	3204	7.1%
7.1	2579	5.8%
6.8	2560	5.7%
7	2493	5.6%
6.4	1853	4.1%
7.4	1842	4.1%
7.3	1363	3.0%
Other values (81)	17583	39.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.8	2	< 0.1%
2.9	6	< 0.1%
3	20	< 0.1%
3.1	15	< 0.1%
3.2	24	0.1%

Value	Count	Frequency (%)
14.9	2	< 0.1%
14.5	2	< 0.1%
13.7	2	< 0.1%
11.9	11	< 0.1%
11.8	7	< 0.1%

Consommation mixte (l/100km)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	135
Distinct (%)	0.3%
Missing	39
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	7.716253822
Minimum	1.2
Maximum	24.5
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	1.2
5-th percentile	5
Q1	7.2
median	7.7
Q3	8.4
95-th percentile	10.3
Maximum	24.5
Range	23.3
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	1.597110368
Coefficient of variation (CV)	0.2069800197
Kurtosis	4.204180919
Mean	7.716253822
Median Absolute Deviation (MAD)	0.6
Skewness	0.8049484109
Sum	345773.05
Variance	2.550761527
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.1	3179	7.1%
7.3	2535	5.7%
7.7	2474	5.5%
8	2416	5.4%
8.2	2232	5.0%
7.2	2109	4.7%
7.6	1841	4.1%
7.5	1799	4.0%
7.9	1672	3.7%
8.8	1625	3.6%
Other values (125)	22929	51.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.2	2	< 0.1%
1.8	1	< 0.1%
2.1	1	< 0.1%
3.2	5	< 0.1%
3.3	12	< 0.1%

Value	Count	Frequency (%)
24.5	2	< 0.1%
23.9	2	< 0.1%
17	2	< 0.1%
16.9	2	< 0.1%
16.4	8	< 0.1%

CO2 (g/km)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	264
Distinct (%)	0.6%
Missing	39
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	198.9108924
Minimum	27
Maximum	572
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	27
5-th percentile	128
Q1	187
median	203
Q3	221
95-th percentile	248.5
Maximum	572
Range	545
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	39.01467837
Coefficient of variation (CV)	0.1961414878
Kurtosis	1.838384712
Mean	198.9108924
Median Absolute Deviation (MAD)	16
Skewness	-0.06819813963
Sum	8913396
Variance	1522.145128
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
203	2402	5.4%
216	2022	4.5%
211	1858	4.1%
193	1811	4.0%
190	1682	3.8%
213	1626	3.6%
214	1528	3.4%
232	1491	3.3%
200	1491	3.3%
198	1461	3.3%
Other values (254)	27439	61.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
27	2	< 0.1%
48	1	< 0.1%
49	1	< 0.1%
79	1	< 0.1%
83	2	< 0.1%

Value	Count	Frequency (%)
572	2	< 0.1%
555	2	< 0.1%
397	2	< 0.1%
393	2	< 0.1%
388	8	< 0.1%

CO type I (g/km)
Real number (ℝ_≥0)

Distinct	593
Distinct (%)	1.3%
Missing	303
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%

Mean	0.1534610434
Minimum	0.005
Maximum	0.968
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	0.005
5-th percentile	0.042
Q1	0.046
median	0.093
Q3	0.222
95-th percentile	0.448
Maximum	0.968
Range	0.963
Interquartile range (IQR)	0.176

Descriptive statistics

Standard deviation	0.1389838203
Coefficient of variation (CV)	0.9056619012
Kurtosis	2.675773971
Mean	0.1534610434
Median Absolute Deviation (MAD)	0.047
Skewness	1.595381261
Sum	6836.2291
Variance	0.01931650231
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.046	7633	17.0%
0.093	3531	7.9%
0.175	3402	7.6%
0.042	2700	6.0%
0.078	2504	5.6%
0.061	1801	4.0%
0.006	1524	3.4%
0.361	1286	2.9%
0.227	1263	2.8%
0.353	1213	2.7%
Other values (583)	17690	39.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.005	2	< 0.1%
0.006	1524	3.4%
0.014	8	< 0.1%
0.016	13	< 0.1%
0.02	10	< 0.1%

Value	Count	Frequency (%)
0.968	2	< 0.1%
0.945	1	< 0.1%
0.94	1	< 0.1%
0.931	2	< 0.1%
0.93	2	< 0.1%

HC (g/km)
Real number (ℝ_≥0)

MISSING

Distinct	71
Distinct (%)	0.7%
Missing	34447
Missing (%)	76.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.03049897145
Minimum	0.008
Maximum	0.143
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	0.008
5-th percentile	0.008
Q1	0.008
median	0.031
Q3	0.044
95-th percentile	0.06
Maximum	0.143
Range	0.135
Interquartile range (IQR)	0.036

Descriptive statistics

Standard deviation	0.01840769637
Coefficient of variation (CV)	0.6035513822
Kurtosis	-0.6453471212
Mean	0.03049897145
Median Absolute Deviation (MAD)	0.017
Skewness	0.2741617162
Sum	317.2808
Variance	0.0003388432858
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.008	2732	6.1%
0.031	1264	2.8%
0.014	914	2.0%
0.059	385	0.9%
0.041	359	0.8%
0.048	329	0.7%
0.044	300	0.7%
0.045	213	0.5%
0.03	209	0.5%
0.043	203	0.5%
Other values (61)	3495	7.8%
(Missing)	34447	76.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.008	2732	6.1%
0.012	10	< 0.1%
0.013	10	< 0.1%
0.014	914	2.0%
0.015	13	< 0.1%

Value	Count	Frequency (%)
0.143	4	< 0.1%
0.084	2	< 0.1%
0.08	5	< 0.1%
0.077	4	< 0.1%
0.076	4	< 0.1%

NOX (g/km)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	219
Distinct (%)	0.5%
Missing	303
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%

Mean	0.311837035
Minimum	0.001
Maximum	1.846
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.019
Q1	0.158
median	0.197
Q3	0.228
95-th percentile	1.843
Maximum	1.846
Range	1.845
Interquartile range (IQR)	0.07

Descriptive statistics

Standard deviation	0.4631117217
Coefficient of variation (CV)	1.485108148
Kurtosis	6.822629396
Mean	0.311837035
Median Absolute Deviation (MAD)	0.032
Skewness	2.910705721
Sum	13891.4044
Variance	0.2144724668
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.197	7626	17.0%
0.226	3440	7.7%
1.843	2732	6.1%
0.19	2692	6.0%
0.224	2511	5.6%
0.228	1802	4.0%
0.211	1524	3.4%
0.257	1248	2.8%
0.253	1200	2.7%
0.03	1155	2.6%
Other values (209)	18617	41.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.001	8	< 0.1%
0.002	7	< 0.1%
0.003	35	0.1%
0.004	24	0.1%
0.005	457	1.0%

Value	Count	Frequency (%)
1.846	912	2.0%
1.843	2732	6.1%
0.342	8	< 0.1%
0.322	8	< 0.1%
0.275	1014	2.3%

HC+NOX (g/km)
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	180
Distinct (%)	0.5%
Missing	10659
Missing (%)	23.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.2247875991
Minimum	0.038
Maximum	0.306
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	0.038
5-th percentile	0.156
Q1	0.201
median	0.22
Q3	0.248
95-th percentile	0.287
Maximum	0.306
Range	0.268
Interquartile range (IQR)	0.047

Descriptive statistics

Standard deviation	0.04168111184
Coefficient of variation (CV)	0.1854244274
Kurtosis	1.211501238
Mean	0.2247875991
Median Absolute Deviation (MAD)	0.028
Skewness	-0.7510838011
Sum	7685.7128
Variance	0.001737315084
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.216	7649	17.1%
0.248	3331	7.4%
0.201	2702	6.0%
0.233	2520	5.6%
0.287	1922	4.3%
0.241	1800	4.0%
0.22	1525	3.4%
0.263	1438	3.2%
0.289	1258	2.8%
0.277	798	1.8%
Other values (170)	9248	20.6%
(Missing)	10659	23.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.038	1	< 0.1%
0.046	1	< 0.1%
0.053	2	< 0.1%
0.054	1	< 0.1%
0.066	3	< 0.1%

Value	Count	Frequency (%)
0.306	63	0.1%
0.305	2	< 0.1%
0.301	3	< 0.1%
0.292	22	< 0.1%
0.289	1258	2.8%

Particules (g/km)
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	16
Distinct (%)	< 0.1%
Missing	3142
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.0009607411048
Minimum	0
Maximum	0.61
Zeros	19210
Zeros (%)	42.8%
Memory size	350.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.001
Q3	0.001
95-th percentile	0.004
Maximum	0.61
Range	0.61
Interquartile range (IQR)	0.001

Descriptive statistics

Standard deviation	0.006468898531
Coefficient of variation (CV)	6.733238016
Kurtosis	7997.747503
Mean	0.0009607411048
Median Absolute Deviation (MAD)	0.001
Skewness	87.095677
Sum	40.07059
Variance	4.18466482 × 10⁵
Monotocity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	19210	42.8%
0.001	15382	34.3%
0.002	3413	7.6%
0.004	2774	6.2%
0.003	849	1.9%
0.022	32	0.1%
0.025	16	< 0.1%
0.007	8	< 0.1%
0.023	6	< 0.1%
0.61	4	< 0.1%
Other values (6)	14	< 0.1%
(Missing)	3142	7.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19210	42.8%
0.00044	2	< 0.1%
0.00068	2	< 0.1%
0.001	15382	34.3%
0.00145	3	< 0.1%

Value	Count	Frequency (%)
0.61	4	< 0.1%
0.43	1	< 0.1%
0.025	16	< 0.1%
0.023	6	< 0.1%
0.022	32	0.1%

masse vide euro min (kg)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	859
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2070.96165
Minimum	825
Maximum	3115
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	825
5-th percentile	1425
Q1	1976
median	2076
Q3	2256
95-th percentile	2586
Maximum	3115
Range	2290
Interquartile range (IQR)	280

Descriptive statistics

Standard deviation	342.8729755
Coefficient of variation (CV)	0.1655622042
Kurtosis	0.4119972036
Mean	2070.96165
Median Absolute Deviation (MAD)	110
Skewness	-0.6321831902
Sum	92882630
Variance	117561.8773
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2186	7392	16.5%
2076	6499	14.5%
2586	6085	13.6%
2356	4431	9.9%
1976	2726	6.1%
2025	1106	2.5%
2075	1096	2.4%
2050	1068	2.4%
1735	975	2.2%
1845	720	1.6%
Other values (849)	12752	28.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
825	8	< 0.1%
839	5	< 0.1%
845	14	< 0.1%
855	4	< 0.1%
870	2	< 0.1%

Value	Count	Frequency (%)
3115	1	< 0.1%
2905	4	< 0.1%
2855	4	< 0.1%
2842	1	< 0.1%
2760	2	< 0.1%

masse vide euro max (kg)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	937
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2169.545284
Minimum	825
Maximum	3115
Zeros	0
Zeros (%)	0.0%
Memory size	350.5 KiB

Quantile statistics

Minimum	825
5-th percentile	1435
Q1	2043.5
median	2185
Q3	2355
95-th percentile	2859
Maximum	3115
Range	2290
Interquartile range (IQR)	311.5

Descriptive statistics

Standard deviation	410.6005406
Coefficient of variation (CV)	0.189256497
Kurtosis	0.01978147978
Mean	2169.545284
Median Absolute Deviation (MAD)	170
Skewness	-0.3528933368
Sum	97304106
Variance	168592.8039
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2185	7459	16.6%
2075	6545	14.6%
2355	4437	9.9%
2585	2196	4.9%
2600	1348	3.0%
2275	1276	2.8%
2525	1074	2.4%
2859	1074	2.4%
2350	1048	2.3%
1735	974	2.2%
Other values (927)	17419	38.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
825	8	< 0.1%
839	5	< 0.1%
845	14	< 0.1%
855	4	< 0.1%
870	2	< 0.1%

Value	Count	Frequency (%)
3115	1	< 0.1%
3094	40	0.1%
3084	40	0.1%
3063	2	< 0.1%
3041	2	< 0.1%

Champ V9
Categorical

Distinct	13
Distinct (%)	< 0.1%
Missing	235
Missing (%)	0.5%
Memory size	350.5 KiB

715/2007*692/2008EURO5	26426
715/2007*566/2011EURO5	8250
715/2007*630/2012EURO5	3332
2005/55*2008/74EURO5	1876
2005/55*2008/74EEV	1830
Other values (8)	2901

Length

Max length	22
Median length	22
Mean length	21.75167545
Min length	18

Characters and Unicode

Total characters	970451
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	715/2007*692/2008EURO5
2nd row	715/2007*692/2008EURO5
3rd row	715/2007*692/2008EURO5
4th row	715/2007*692/2008EURO5
5th row	715/2007*692/2008EURO5

Value	Count	Frequency (%)
715/2007*692/2008EURO5	26426	58.9%
715/2007*566/2011EURO5	8250	18.4%
715/2007*630/2012EURO5	3332	7.4%
2005/55*2008/74EURO5	1876	4.2%
2005/55*2008/74EEV	1830	4.1%
715/2007*630/2012EURO6	1246	2.8%
715/2007*459/2012EURO5	1089	2.4%
715/2007*459/2012EURO6	339	0.8%
715/2007*566/2011EURO6	136	0.3%
715/2007*692/2008EURO6	86	0.2%
Other values (3)	5	< 0.1%
(Missing)	235	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
715/2007*692/2008euro5	26426	59.2%
715/2007*566/2011euro5	8250	18.5%
715/2007*630/2012euro5	3332	7.5%
2005/55*2008/74euro5	1876	4.2%
2005/55*2008/74eev	1830	4.1%
715/2007*630/2012euro6	1246	2.8%
715/2007*459/2012euro5	1089	2.4%
715/2007*459/2012euro6	339	0.8%
715/2007*566/2011euro6	136	0.3%
715/2007*692/2008euro6	86	0.2%
Other values (3)	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	168641	17.4%
2	121751	12.5%
5	102819	10.6%
/	89230	9.2%
7	85524	8.8%
1	63694	6.6%
6	49673	5.1%
E	46445	4.8%
*	44615	4.6%
U	42785	4.4%
Other values (7)	155274	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	659978	68.0%
Uppercase Letter	176628	18.2%
Other Punctuation	133845	13.8%

Most frequent character per category

Value	Count	Frequency (%)
0	168641	25.6%
2	121751	18.4%
5	102819	15.6%
7	85524	13.0%
1	63694	9.7%
6	49673	7.5%
8	30218	4.6%
9	27943	4.2%
4	5137	0.8%
3	4578	0.7%

Value	Count	Frequency (%)
E	46445	26.3%
U	42785	24.2%
R	42785	24.2%
O	42783	24.2%
V	1830	1.0%

Value	Count	Frequency (%)
/	89230	66.7%
*	44615	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	793823	81.8%
Latin	176628	18.2%

Most frequent character per script

Value	Count	Frequency (%)
0	168641	21.2%
2	121751	15.3%
5	102819	13.0%
/	89230	11.2%
7	85524	10.8%
1	63694	8.0%
6	49673	6.3%
*	44615	5.6%
8	30218	3.8%
9	27943	3.5%
Other values (2)	9715	1.2%

Value	Count	Frequency (%)
E	46445	26.3%
U	42785	24.2%
R	42785	24.2%
O	42783	24.2%
V	1830	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	970451	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	168641	17.4%
2	121751	12.5%
5	102819	10.6%
/	89230	9.2%
7	85524	8.8%
1	63694	6.6%
6	49673	5.1%
E	46445	4.8%
*	44615	4.6%
U	42785	4.4%
Other values (7)	155274	16.0%

Date de mise à jour
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

juin-13	43910
mars-13	939
déc-12	1

Length

Max length	7
Median length	7
Mean length	6.999977703
Min length	6

Characters and Unicode

Total characters	313949
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	juin-13
2nd row	juin-13
3rd row	juin-13
4th row	juin-13
5th row	juin-13

Value	Count	Frequency (%)
juin-13	43910	97.9%
mars-13	939	2.1%
déc-12	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
juin-13	43910	97.9%
mars-13	939	2.1%
déc-12	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
-	44850	14.3%
1	44850	14.3%
3	44849	14.3%
j	43910	14.0%
u	43910	14.0%
i	43910	14.0%
n	43910	14.0%
m	939	0.3%
a	939	0.3%
r	939	0.3%
Other values (5)	943	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	179399	57.1%
Decimal Number	89700	28.6%
Dash Punctuation	44850	14.3%

Most frequent character per category

Value	Count	Frequency (%)
j	43910	24.5%
u	43910	24.5%
i	43910	24.5%
n	43910	24.5%
m	939	0.5%
a	939	0.5%
r	939	0.5%
s	939	0.5%
d	1	< 0.1%
é	1	< 0.1%

Value	Count	Frequency (%)
1	44850	50.0%
3	44849	50.0%
2	1	< 0.1%

Value	Count	Frequency (%)
-	44850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	179399	57.1%
Common	134550	42.9%

Most frequent character per script

Value	Count	Frequency (%)
j	43910	24.5%
u	43910	24.5%
i	43910	24.5%
n	43910	24.5%
m	939	0.5%
a	939	0.5%
r	939	0.5%
s	939	0.5%
d	1	< 0.1%
é	1	< 0.1%

Value	Count	Frequency (%)
-	44850	33.3%
1	44850	33.3%
3	44849	33.3%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	313948	> 99.9%
None	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
-	44850	14.3%
1	44850	14.3%
3	44849	14.3%
j	43910	14.0%
u	43910	14.0%
i	43910	14.0%
n	43910	14.0%
m	939	0.3%
a	939	0.3%
r	939	0.3%
Other values (4)	942	0.3%

Value	Count	Frequency (%)
é	1	100.0%

Carrosserie
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

MINIBUS	32744
BERLINE	5002
BREAK	2271
TS TERRAINS/CHEMINS	1265
COUPE	1104
Other values (5)	2464

Length

Max length	19
Median length	7
Mean length	7.427982163
Min length	5

Characters and Unicode

Total characters	333145
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BREAK
2nd row	BERLINE
3rd row	BERLINE
4th row	BERLINE
5th row	BERLINE

Value	Count	Frequency (%)
MINIBUS	32744	73.0%
BERLINE	5002	11.2%
BREAK	2271	5.1%
TS TERRAINS/CHEMINS	1265	2.8%
COUPE	1104	2.5%
COMBISPACE	957	2.1%
CABRIOLET	611	1.4%
MONOSPACE COMPACT	610	1.4%
MINISPACE	171	0.4%
MONOSPACE	115	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
minibus	32744	70.1%
berline	5002	10.7%
break	2271	4.9%
ts	1265	2.7%
terrains/chemins	1265	2.7%
coupe	1104	2.4%
combispace	957	2.0%
monospace	725	1.6%
cabriolet	611	1.3%
compact	610	1.3%

Most occurring characters

Value	Count	Frequency (%)
I	74930	22.5%
B	41585	12.5%
N	41172	12.4%
S	38392	11.5%
M	36472	10.9%
U	33848	10.2%
E	18373	5.5%
R	10414	3.1%
C	7010	2.1%
A	6610	2.0%
Other values (8)	24339	7.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	330005	99.1%
Space Separator	1875	0.6%
Other Punctuation	1265	0.4%

Most frequent character per category

Value	Count	Frequency (%)
I	74930	22.7%
B	41585	12.6%
N	41172	12.5%
S	38392	11.6%
M	36472	11.1%
U	33848	10.3%
E	18373	5.6%
R	10414	3.2%
C	7010	2.1%
A	6610	2.0%
Other values (6)	21199	6.4%

Value	Count	Frequency (%)
	1875	100.0%

Value	Count	Frequency (%)
/	1265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	330005	99.1%
Common	3140	0.9%

Most frequent character per script

Value	Count	Frequency (%)
I	74930	22.7%
B	41585	12.6%
N	41172	12.5%
S	38392	11.6%
M	36472	11.1%
U	33848	10.3%
E	18373	5.6%
R	10414	3.2%
C	7010	2.1%
A	6610	2.0%
Other values (6)	21199	6.4%

Value	Count	Frequency (%)
	1875	59.7%
/	1265	40.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	333145	100.0%

Most frequent character per block

Value	Count	Frequency (%)
I	74930	22.5%
B	41585	12.5%
N	41172	12.4%
S	38392	11.5%
M	36472	10.9%
U	33848	10.2%
E	18373	5.5%
R	10414	3.1%
C	7010	2.1%
A	6610	2.0%
Other values (8)	24339	7.3%

gamme
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	350.5 KiB

MOY-INFER	20428
MOY-SUPER	15124
LUXE	5223
SUPERIEURE	1956
INFERIEURE	1884
Other values (2)	235

Length

Max length	10
Median length	9
Mean length	8.50845039
Min length	4

Characters and Unicode

Total characters	381604
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MOY-SUPER
2nd row	MOY-SUPER
3rd row	MOY-SUPER
4th row	MOY-SUPER
5th row	MOY-SUPER

Value	Count	Frequency (%)
MOY-INFER	20428	45.5%
MOY-SUPER	15124	33.7%
LUXE	5223	11.6%
SUPERIEURE	1956	4.4%
INFERIEURE	1884	4.2%
ECONOMIQUE	233	0.5%
MOY-INF	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
moy-infer	20428	45.5%
moy-super	15124	33.7%
luxe	5223	11.6%
superieure	1956	4.4%
inferieure	1884	4.2%
economique	233	0.5%
moy-inf	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	52761	13.8%
R	43232	11.3%
O	36020	9.4%
M	35787	9.4%
Y	35554	9.3%
-	35554	9.3%
I	26387	6.9%
U	26376	6.9%
N	22547	5.9%
F	22314	5.8%
Other values (6)	45072	11.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	346050	90.7%
Dash Punctuation	35554	9.3%

Most frequent character per category

Value	Count	Frequency (%)
E	52761	15.2%
R	43232	12.5%
O	36020	10.4%
M	35787	10.3%
Y	35554	10.3%
I	26387	7.6%
U	26376	7.6%
N	22547	6.5%
F	22314	6.4%
S	17080	4.9%
Other values (5)	27992	8.1%

Value	Count	Frequency (%)
-	35554	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	346050	90.7%
Common	35554	9.3%

Most frequent character per script

Value	Count	Frequency (%)
E	52761	15.2%
R	43232	12.5%
O	36020	10.4%
M	35787	10.3%
Y	35554	10.3%
I	26387	7.6%
U	26376	7.6%
N	22547	6.5%
F	22314	6.4%
S	17080	4.9%
Other values (5)	27992	8.1%

Value	Count	Frequency (%)
-	35554	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381604	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	52761	13.8%
R	43232	11.3%
O	36020	9.4%
M	35787	9.4%
Y	35554	9.3%
-	35554	9.3%
I	26387	6.9%
U	26376	6.9%
N	22547	5.9%
F	22314	5.8%
Other values (6)	45072	11.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Marque	Modèle dossier	Modèle UTAC	Désignation commerciale	CNIT	Type Variante Version (TVV)	Carburant	Hybride	Puissance administrative	Puissance maximale (kW)	Boîte de vitesse	Consommation urbaine (l/100km)	Consommation extra-urbaine (l/100km)	Consommation mixte (l/100km)	CO2 (g/km)	CO type I (g/km)	HC (g/km)	NOX (g/km)	HC+NOX (g/km)	Particules (g/km)	masse vide euro min (kg)	masse vide euro max (kg)	Champ V9	Date de mise à jour	Carrosserie	gamme
0	ALFA-ROMEO	159	159	159 1750 Tbi (200ch)	M10ALFVP000G340	939AXN1B52C	ES	non	12	147.0	M 6	11.3	5.8	7.8	182.0	0.647	0.052	0.032	NaN	0.002	1505	1505	715/2007*692/2008EURO5	juin-13	BREAK	MOY-SUPER
1	ALFA-ROMEO	159	159	159 2.0 JTDm (170ch) ECO	M10ALFVP000U221	939AXP1B54C	GO	non	9	125.0	M 6	6.6	4.3	5.1	136.0	0.192	NaN	0.169	0.190	0.003	1565	1565	715/2007*692/2008EURO5	juin-13	BERLINE	MOY-SUPER
2	ALFA-ROMEO	159	159	159 2.0 JTDm (136ch)	M10ALFVP000E302	939AXR1B64	GO	non	7	100.0	M 6	6.6	4.2	5.1	134.0	0.066	NaN	0.149	0.175	0.001	1565	1565	715/2007*692/2008EURO5	juin-13	BERLINE	MOY-SUPER
3	ALFA-ROMEO	159	159	159 2.0 JTDm (136ch)	M10ALFVP000F303	939AXR1B64B	GO	non	7	100.0	M 6	6.6	4.2	5.1	134.0	0.066	NaN	0.149	0.175	0.001	1565	1565	715/2007*692/2008EURO5	juin-13	BERLINE	MOY-SUPER
4	ALFA-ROMEO	159	159	159 2.0 JTDm (170ch)	M10ALFVP000G304	939AXS1B66	GO	non	9	125.0	M 6	6.9	4.3	5.3	139.0	0.060	NaN	0.164	0.193	0.001	1565	1565	715/2007*692/2008EURO5	juin-13	BERLINE	MOY-SUPER
5	ALFA-ROMEO	159	159	159 2.0 JTDm (170ch)	M10ALFVP000H305	939AXS1B66B	GO	non	9	125.0	M 6	6.9	4.3	5.3	139.0	0.060	NaN	0.164	0.193	0.001	1565	1565	715/2007*692/2008EURO5	juin-13	BERLINE	MOY-SUPER
6	ALFA-ROMEO	159	159	159 1750 Tbi (200ch)	M10ALFVP000H341	939BXN1B53C	ES	non	12	147.0	M 6	11.5	6.0	8.0	186.0	0.647	0.052	0.032	NaN	0.002	1555	1555	715/2007*692/2008EURO5	juin-13	BREAK	MOY-SUPER
7	ALFA-ROMEO	159	159	159 SW 2.0 JTDm (170ch) ECO	M10ALFVP000S255	939BXP1B55C	GO	non	9	125.0	M 6	6.7	4.4	5.2	139.0	0.192	NaN	0.169	0.190	0.003	1615	1615	715/2007*692/2008EURO5	juin-13	BREAK	MOY-SUPER
8	ALFA-ROMEO	159	159	159 SW 2.0 JTDm (136ch)	M10ALFVP000J306	939BXR1B65	GO	non	7	100.0	M 6	6.8	4.3	5.2	137.0	0.066	NaN	0.149	0.175	0.001	1615	1615	715/2007*692/2008EURO5	juin-13	BREAK	MOY-SUPER
9	ALFA-ROMEO	159	159	159 SW 2.0 JTDm (136ch)	M10ALFVP000J307	939BXR1B65B	GO	non	7	100.0	M 6	6.8	4.3	5.2	137.0	0.066	NaN	0.149	0.175	0.001	1615	1615	715/2007*692/2008EURO5	juin-13	BREAK	MOY-SUPER

Last rows

	Marque	Modèle dossier	Modèle UTAC	Désignation commerciale	CNIT	Type Variante Version (TVV)	Carburant	Hybride	Puissance administrative	Puissance maximale (kW)	Boîte de vitesse	Consommation urbaine (l/100km)	Consommation extra-urbaine (l/100km)	Consommation mixte (l/100km)	CO2 (g/km)	CO type I (g/km)	HC (g/km)	NOX (g/km)	HC+NOX (g/km)	Particules (g/km)	masse vide euro min (kg)	masse vide euro max (kg)	Champ V9	Date de mise à jour	Carrosserie	gamme
44840	VOLVO	XC60	XC60	XC60 D4 (163ch) Geartronic 6	M10VLVVP874H716	DZ8850	GO	non	9	120.0	A 6	7.9	5.0	6.0	159.0	0.280	NaN	0.138	0.159	0.002	1725	1725	715/2007*630/2012EURO5	juin-13	TS TERRAINS/CHEMINS	SUPERIEURE
44841	VOLVO	XC60	XC60	XC60 D4 (163ch) Stop&Start BVM6	M10VLVVP874J717	DZ88A1	GO	non	9	120.0	M 6	6.4	4.6	5.3	139.0	0.274	NaN	0.117	0.144	0.000	1716	1716	715/2007*630/2012EURO5	juin-13	TS TERRAINS/CHEMINS	SUPERIEURE
44842	VOLVO	XC60	XC60	XC60 T6 (304ch) AWD Geartronic 6	M1GVLVVP874Z718	DZ90H6	ES	non	21	224.0	A 6	15.2	8.1	10.7	249.0	0.302	0.040	0.029	NaN	NaN	1812	1812	715/2007*566/2011EURO5	juin-13	TS TERRAINS/CHEMINS	SUPERIEURE
44843	VOLVO	XC70	XC70	XC70 D5 (215ch) AWD Geartronic 6	M10VLVVP872R581	BZ8256	GO	non	13	158.0	A 6	8.6	5.2	6.4	169.0	0.344	NaN	0.116	0.152	0.001	1798	1798	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44844	VOLVO	XC70	XC70	XC70 D5 (215ch) Stop&Start AWD BVM6	M10VLVVP8723582	BZ83A4	GO	non	12	158.0	M 6	6.1	4.8	5.3	139.0	0.285	NaN	0.106	0.144	0.000	1788	1788	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44845	VOLVO	XC70	XC70	XC70 D4 (163ch) AWD Geartronic 6	M10VLVVP874P723	BZ8756	GO	non	10	120.0	A 6	8.6	5.2	6.4	169.0	0.344	NaN	0.116	0.152	0.000	1799	1799	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44846	VOLVO	XC70	XC70	XC70 D4 (163ch) Stop&Start AWD BVM6	M10VLVVP8725584	BZ87A4	GO	non	9	120.0	M 6	6.1	4.8	5.3	139.0	0.285	NaN	0.106	0.144	0.000	1786	1786	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44847	VOLVO	XC70	XC70	XC70 D4 (163ch) Geartronic 6	M10VLVVP8726585	BZ8850	GO	non	9	120.0	A 6	7.7	4.8	5.9	154.0	0.243	NaN	0.108	0.132	0.001	1726	1726	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44848	VOLVO	XC70	XC70	XC70 D4 (163ch) Stop&Start BVM6	M10VLVVP8727586	BZ88A1	GO	non	9	120.0	M 6	6.8	4.5	5.3	139.0	0.268	NaN	0.127	0.152	0.001	1706	1706	715/2007*630/2012EURO5	juin-13	BREAK	SUPERIEURE
44849	VOLVO	XC70	XC70	XC70 T6 (304ch) AWD Geartronic 6	M10VLVVP874P724	BZ90H6	ES	non	21	224.0	A 6	15.1	8.1	10.6	248.0	0.219	0.038	0.027	NaN	NaN	1815	1815	715/2007*566/2011EURO5	juin-13	BREAK	SUPERIEURE

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters